{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/bb41691598dc4aedb5cd083d18e29bc3\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/bb41691598dc4aedb5cd083d18e29bc3-8c94f0c040d8d81c.gif","duration":126.333,"title":"Proactive Full Story Alerts with Metrics 🚨","description":"I walked through how to be proactive in FullStory by turning an event trend into a metric, then creating an alert with daily or other thresholds and options like relative or absolute change. I can choose when to be alerted as the value crosses a threshold or on every day it repeats, and route alerts via in app notifications, email, or Slack. I shared examples like triggering support desk ticket creation when daily volume exceeds expected norms. I also use watched in app error toast trends to anticipate service disruptions before they become widespread. No action was explicitly requested from viewers."}